期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 10, 期 2, 页码 1537-1546出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2014.2300338
关键词
Enterprise modeling; enterprise systems (ESs); Internet of Things (IoT); literature review; manufacturing enterprise; system paradigms
类别
资金
- National Natural Science Foundation of China (NNSFC) [71132008]
- U.S. National Science Foundation [SES-1318470, 1044845]
- Direct For Education and Human Resources
- Division Of Undergraduate Education [1044845] Funding Source: National Science Foundation
Design and operation of a manufacturing enterprise involve numerous types of decision-making at various levels and domains. A complex system has a large number of design variables and decision-making requires real-time data collected from machines, processes, and business environments. Enterprise systems (ESs) are used to support data acquisition, communication, and all decision-making activities. Therefore, information technology (IT) infrastructure for data acquisition and sharing affects the performance of an ES greatly. Our objective is to investigate the impact of emerging Internet of Things (IoT) on ESs in modern manufacturing. To achieve this objective, the evolution of manufacturing system paradigms is discussed to identify the requirements of decision support systems in dynamic and distributed environments; recent advances in IT are overviewed and associated with next-generation manufacturing paradigms; and the relation of IT infrastructure and ESs is explored to identify the technological gaps in adopting IoT as an IT infrastructure of ESs. The future research directions in this area are discussed.
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